Llama 3.3 70b Instruct
Llama 3.3 is optimized for multilingual dialogue use cases and outperforms many of the available open source and closed chat models on common industry benchmarks.
- Tool Calling
- Structured Output
Added Feb 27, 2025
Model weightsPricing
Auto routing · per 1M tokens- Input
- $0.050
- Output
- $0.23
Specifications
- Context window
- 131.1K
- Max output
- 16.4K
- Parameters
- 70B
- Avg output (7d)
- 41 tokens
- Longer than 2% of models
Benchmarks
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
7.7
Coding Index
11.9
Agentic work
T²-Bench Telecom (legacy)
Legacy fallback · Conversational AI agents in dual-control scenarios
26.6%
Better than 32% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
-170 Elo
Better than 5% of models compared
Document reasoning
AA-LCR v1.1
Long context reasoning with updated grading
15.7%
Better than 19% of models compared
Reasoning
HLE
Humanity's Last Exam
3.6%
Better than 6% of models compared
IFBench
Instruction-following benchmark
47.1%
Better than 55% of models compared
CritPt
Research-level physics reasoning
0.0%
Coding
Terminal-Bench Hard (legacy)
Legacy fallback · Agentic coding and terminal use
3.0%
Better than 23% of models compared
LiveCodeBench
Contamination-free coding benchmark
28.8%
Better than 32% of models compared
Math
AIME 2025
American Invitational Mathematics Examination 2025
7.7%
Better than 12% of models compared
AIME
American Invitational Mathematics Examination
30.0%
Better than 57% of models compared
Math-500
Diverse mathematical problem solving benchmark
77.3%
Better than 42% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
71.3%
Better than 39% of models compared
AA-Omniscience Accuracy
Proportion of correctly answered questions
19.0%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
90.2%
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
49.8%
Better than 23% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
15.7%
Better than 19% of models compared
GDPval-AA (unversioned / legacy)
Economically valuable tasks
0.0%
Last updated Oct 3, 2026
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